Metadata-Version: 2.4
Name: explainviz
Version: 1.0.0
Summary: ExplainViz: Visualization that explains data behavior and bias
Author: Pushkar Kaushalendra Sharma
License: MIT
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: matplotlib
Dynamic: license-file

# ExplainViz

ExplainViz is a Python 3.10+ visualization library that not only plots data,
but also explains what is happening inside the data using clear,
rule-based statistical insights.

It is designed to sit on top of Matplotlib and provide:
- Automatic plots
- Distribution explanations
- Stability and change detection
- Relationship analysis
- Group bias and fairness checks

ExplainViz focuses on **clarity, reliability, and real-world usability** —
no black-box AI, no hidden magic.

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## ✨ Key Features

- 📊 Automatic plot selection (numeric, grouped data)
- 📈 Distribution analysis (skewness, tails)
- ⚡ Sudden change detection in data
- 🔗 Strong relationship detection between variables
- ⚖️ Group bias and imbalance checks
- 🧠 Human-readable explanations alongside plots
- 🐍 Python 3.10+ compatible

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## 📦 Installation

```bash
pip install explainviz
